**docs(guides): add service identification guide**

- Created `service-identification.md` in `docs/guides`:
  - Detailed guidelines on how services should identify themselves within Brainy.
  - Documented two identification methods: default service initialization and operation-specific service naming.
  - Included service name conventions and common examples (`github`, `reddit`, `default`).
- Described benefits of proper service identification:
  - Enhanced statistics tracking and JSON field discovery by service.
- Provided best practices for consistent and descriptive service naming.
- Explained internal implementation details, such as `getServiceName` usage and statistic tracking.

**Purpose**: Help users properly identify services to enable statistics tracking, field discovery, and improved data management in Brainy.
This commit is contained in:
David Snelling 2025-08-01 10:16:18 -07:00
parent d05d381a5d
commit 6ee0881d86
2 changed files with 245 additions and 7 deletions

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@ -0,0 +1,151 @@
# Service Identification Guide
## Overview
This guide explains how services should identify themselves when adding, updating, or deleting data in Brainy. Proper service identification is important for:
1. **Statistics tracking**: Brainy tracks statistics by service, allowing you to see how much data each service has contributed.
2. **JSON field discovery**: Brainy tracks field names in JSON documents by service, allowing you to discover what fields are available from different services.
## How to Identify Your Service
### Option 1: Specify a Default Service During Initialization
The simplest approach is to specify a default service name when initializing Brainy:
```javascript
// Initialize Brainy with a default service name
const brainyData = new BrainyData({
defaultService: 'my-service-name'
});
// All operations will automatically use the default service name
await brainyData.add(data, metadata);
await brainyData.updateMetadata(id, newMetadata);
await brainyData.delete(id);
```
This approach ensures that all operations use the same service name without having to specify it for each operation.
### Option 2: Specify Service Name for Each Operation
Alternatively, you can specify the service name for each operation:
```javascript
// Adding data with service identification
const id = await brainyData.add(data, metadata, {
service: 'my-service-name'
});
// Updating metadata with service identification
await brainyData.updateMetadata(id, newMetadata, {
service: 'my-service-name'
});
// Deleting data with service identification
await brainyData.delete(id, {
service: 'my-service-name'
});
```
This approach gives you more flexibility if you need to use different service names for different operations.
## Service Name Conventions
Service names should be:
- Lowercase
- Hyphen-separated (e.g., `github-api`, `bluesky-feed`)
- Descriptive of the data source or service
- Consistent across all operations from the same service
Common service names used in Brainy include:
- `github`
- `bluesky`
- `reddit`
- `twitter`
- `google`
- `default` (used when no service is specified)
## How Service Identification Works
Internally, Brainy uses the `getServiceName` helper method to determine the service name:
1. If a `service` parameter is provided in the options object, that value is used.
2. If no `service` parameter is provided, Brainy uses the default service name specified during initialization.
3. If no default service was specified, `'default'` is used.
## Benefits of Proper Service Identification
### Statistics Tracking
With proper service identification, you can see statistics broken down by service:
```javascript
const stats = await brainyData.getStatistics();
console.log('Noun count by service:');
console.log(stats.nounCount);
console.log('Metadata count by service:');
console.log(stats.metadataCount);
```
Example output:
```
Noun count by service:
{
"github": 1250,
"bluesky": 843,
"reddit": 567,
"default": 122
}
```
### Field Name Discovery
You can discover what fields are available from different services:
```javascript
const fieldNames = await brainyData.getAvailableFieldNames();
console.log(fieldNames);
```
Example output:
```
{
"github": ["repository.name", "repository.description", "user.login", "issue.title", ...],
"bluesky": ["post.text", "user.handle", "user.displayName", ...],
"reddit": ["title", "selftext", "author.name", "subreddit.name", ...]
}
```
### Standard Field Mappings
You can use standard field mappings to search consistently across different services:
```javascript
// Get standard field mappings
const standardFieldMappings = await brainyData.getStandardFieldMappings();
console.log(standardFieldMappings);
// Search using standard fields
const results = await brainyData.searchByStandardField("title", "climate change", 10);
```
## Best Practices
1. **Specify a default service name during initialization** for simplicity and consistency.
2. **Override the default service name** only when necessary for specific operations.
3. **Use consistent service names** across all operations from the same service.
4. **Use descriptive service names** that identify the data source.
5. **Document the field names** used by your service to help users understand what fields are available for searching.
## Implementation Details
Service identification is implemented through:
1. The `getServiceName` helper method in `BrainyData` class
2. The `trackFieldNames` method in `StorageAdapter` interface
3. The `incrementStatistic` and `decrementStatistic` methods in `StorageAdapter` interface
These methods ensure that statistics and field names are properly tracked by service.

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@ -55,6 +55,13 @@ export interface BrainyDataConfig {
*/
hnsw?: Partial<HNSWOptimizedConfig>
/**
* Default service name to use for all operations
* When specified, this service name will be used for all operations
* that don't explicitly provide a service name
*/
defaultService?: string
/**
* Distance function to use for similarity calculations
*/
@ -344,6 +351,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
private useOptimizedIndex: boolean = false
private _dimensions: number
private loggingConfig: BrainyDataConfig['logging'] = { verbose: true }
private defaultService: string = 'default'
// Timeout and retry configuration
private timeoutConfig: BrainyDataConfig['timeouts'] = {}
@ -455,6 +463,11 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
throw new Error('Database cannot be both read-only and write-only')
}
// Set default service name if provided
if (config.defaultService) {
this.defaultService = config.defaultService
}
// Store storage configuration for later use in init()
this.storageConfig = config.storage || {}
@ -873,7 +886,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
}
/**
* Get the service name from options or fallback to current augmentation
* Get the service name from options or fallback to default service
* This provides a consistent way to handle service names across all methods
* @param options Options object that may contain a service property
* @returns The service name to use for operations
@ -882,7 +895,9 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
if (options?.service) {
return options.service
}
return this.getCurrentAugmentation()
// Use the default service name specified during initialization
// This simplifies service identification by allowing it to be specified once
return this.defaultService
}
/**
@ -2377,7 +2392,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
}
// Get the service that's updating the metadata
const service = options.service || this.getCurrentAugmentation()
const service = this.getServiceName(options)
const graphNoun = metadata as unknown as GraphNoun
// Preserve existing createdBy and createdAt if they exist
@ -2424,7 +2439,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
await this.storage!.saveMetadata(id, metadata)
// Track metadata statistics
const service = options.service || this.getCurrentAugmentation()
const service = this.getServiceName(options)
await this.storage!.incrementStatistic('metadata', service)
return true
@ -2534,7 +2549,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
const placeholderVector = new Array(this._dimensions).fill(0)
// Add metadata if provided
const service = options.service || this.getCurrentAugmentation()
const service = this.getServiceName(options)
const now = new Date()
const timestamp = {
seconds: Math.floor(now.getTime() / 1000),
@ -2576,7 +2591,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
const placeholderVector = new Array(this._dimensions).fill(0)
// Add metadata if provided
const service = options.service || this.getCurrentAugmentation()
const service = this.getServiceName(options)
const now = new Date()
const timestamp = {
seconds: Math.floor(now.getTime() / 1000),
@ -2685,7 +2700,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
// Note: We're no longer validating against VerbType enum to allow custom relationship types
// Get service name from options or current augmentation
const service = options.service || this.getCurrentAugmentation()
const service = this.getServiceName(options)
// Create timestamp for creation/update time
const now = new Date()
@ -3271,6 +3286,78 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
}
}
/**
* Calculate similarity between two vectors or between two pieces of text/data
* This method allows clients to directly calculate similarity scores between items
* without needing to add them to the database
*
* @param a First vector or text/data to compare
* @param b Second vector or text/data to compare
* @param options Additional options
* @returns A promise that resolves to the similarity score (higher means more similar)
*/
public async calculateSimilarity(
a: Vector | string | string[],
b: Vector | string | string[],
options: {
forceEmbed?: boolean // Force using the embedding function even if input is a vector
distanceFunction?: DistanceFunction // Optional custom distance function
} = {}
): Promise<number> {
await this.ensureInitialized()
try {
// Convert inputs to vectors if needed
let vectorA: Vector
let vectorB: Vector
// Process first input
if (
Array.isArray(a) &&
a.every((item) => typeof item === 'number') &&
!options.forceEmbed
) {
// Input is already a vector
vectorA = a
} else {
// Input needs to be vectorized
try {
vectorA = await this.embeddingFunction(a)
} catch (embedError) {
throw new Error(`Failed to vectorize first input: ${embedError}`)
}
}
// Process second input
if (
Array.isArray(b) &&
b.every((item) => typeof item === 'number') &&
!options.forceEmbed
) {
// Input is already a vector
vectorB = b
} else {
// Input needs to be vectorized
try {
vectorB = await this.embeddingFunction(b)
} catch (embedError) {
throw new Error(`Failed to vectorize second input: ${embedError}`)
}
}
// Calculate distance using the specified or default distance function
const distanceFunction = options.distanceFunction || this.distanceFunction
const distance = distanceFunction(vectorA, vectorB)
// Convert distance to similarity score (1 - distance for cosine)
// Higher value means more similar
return 1 - distance
} catch (error) {
console.error('Failed to calculate similarity:', error)
throw new Error(`Failed to calculate similarity: ${error}`)
}
}
/**
* Search for verbs by type and/or vector similarity
* @param queryVectorOrData Query vector or data to search for